Abstract
New study results on artificial intell igence have been published. According to news originating from INAIL by NewsRx c orrespondents, research stated, "The socket is the most important, patient-speci fic element of a prosthesis." Financial supporters for this research include Assistant Secretary of Defense Fo r Health Affairs; Inail. The news correspondents obtained a quote from the research from INAIL: "Conventi onally, the process of making a custom socket involves manually rectifying a pla ster model of the residual limb. This process is time-consuming and often incons istent among prosthetists because it is based on implicit knowledge. Hence, the aim of this work was to describe a novel process of generating a prosthetist-spe cific, digital "global" template and to illustrate that it can be automatically applied to rectify the shape of a transtibial residual limb. The process involve d (1) the acquisition of a "training" dataset of unrectified and rectified posit ive models through manual data collection and digital 3D scanning, and (2) the u nsupervised learning of the prosthetist's rectifications by an artificial intell igence (AI) algorithm. The assessment of the process involved (1) evaluating whe ther the rectification rule learned by the AI was consistent with the prosthetis t's expectations, and (2) evaluating the template feasibility by applying the AI rectification process to a new residual limb and comparing the results to the p rosthetist's manual rectification for the same residual limb. The results sugges t that the AI-rectified positive was consistent with the approach described by the prosthetist, with only small radial and angle errors and similar dimensions ( volume and cross-sectional perimeters) as the hand-rectified positive."
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